
We evaluated the efficacy of our proposed technique on the following datasets:
The CelebFaces Attributes (CelebA) [1]} of 202,599 celebrity face images. We cropped the initial images to 178x178, then resized them to 64x64. The CIFAR-10 [2]} dataset consists of 60,000 32x32 colour images in 10 classes, with 6,000 images per class. The Fair-Face [3]} image dataset contains 108,501 images, with an emphasis of balanced race composition in the dataset comprising 7 race groups: White, African, Indian, East Asian, Southeast Asian, Middle East, and Hispanic. For evaluations, we used the LIVE [4]} which consists of 982 distorted images with 5 different distortions. The TID2008 dataset [5]} that contains 25 reference images and a total of 1,700 distorted images. We also used Edges-to-shoes 50,000 training images from UT Zappos50K dataset [6]} and Edges-to-Handbag 137,000 Amazon Handbag images from [7]}, trained for 15 epochs and batch size 8.
